James Sipthorp

415 citations
13 papers · 336 · h-index 10

Impact in

    • Chemical Synthesis and Analysis
    • Melanoma and MAPK Pathways
    • Wnt/β-catenin signaling in development and cancer
    • Ubiquitin and proteasome pathways
    • Cancer-related gene regulation

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • Cancer-related gene regulation 3
    • Chemical Synthesis and Analysis 3
    • RNA and protein synthesis mechanisms 2
    • Peptidase Inhibition and Analysis 2

James Sipthorp

13 papers receiving 331 citations

Peers

James Sipthorp
Comparison fields: 5 of 62
  • Molecular Biology 232
  • Oncology 68
  • Organic Chemistry 75
  • Computational Theory and Mathematics 44
  • Physiology 8
Replace Nemanja Djoković with:
Nemanja Djoković Serbia
Taijin Wang China
Dušan Ružić Serbia
Sachio Shibata Japan
Misaki Homma Japan
Malte Metz Germany
Zuohe Song United States
Thierry Le Diguarher France
Kamakshi L. Sishtla United States
David K. Miyamoto United States
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Citations per field
00.5×2×4×6.8×
Nemanja Djoković · 1×
Citations per year

Countries citing papers authored by James Sipthorp

Since Specialization
Citations

This map shows the geographic impact of James Sipthorp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Sipthorp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Sipthorp more than expected).

Fields of papers citing papers by James Sipthorp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Sipthorp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Sipthorp. The network helps show where James Sipthorp may publish in the future.

Co-authors

The 25 scholars most cited alongside James Sipthorp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Sipthorp Line = papers co-authored together James Sipthorp links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2018140
2 202441
3 201925
4 201722
5 201719
6 202019
7 202417
8 201916
9 202211
10 201710
11 20218
12 20174
13 20224

About James Sipthorp

James Sipthorp is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Biochemistry, having authored 13 papers that have together received 336 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (4 papers), Computational Drug Discovery Methods (3 papers), Cancer-related gene regulation (3 papers), Chemical Synthesis and Analysis (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Click Chemistry and Applications (2 papers), RNA and protein synthesis mechanisms (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Molecular Biology (232 citations), Oncology (68 citations), Organic Chemistry (75 citations), Computational Theory and Mathematics (44 citations) and Physiology (8 citations). James Sipthorp has collaborated with scholars based in United Kingdom, Germany and India. Frequent co-authors include Simon J. Cook, Andrew M. Kidger, Steven V. Ley, Laura S. Itzhaki, Wenshu Xu, Paul V. Fish, Amy E. Monaghan, Yuguang Zhao, Juan Carlos Serrano and Benjamin N. Atkinson. Their work appears in journals such as Journal of Medicinal Chemistry, ChemBioChem, Nature Biotechnology, Organic & Biomolecular Chemistry and Bioorganic & Medicinal Chemistry Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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